Skip to content

jiiwang/scalable_fair_spectral_clustering

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

code repository for scalable spectral clustering with group fairness constraints

code structure

-- src
 -- alg1.m: SC 
 -- alg2.m: FairSC
 -- alg3.m: s-FairSC
 -- Afun.m: spmv function to eig in alg3.m
 -- Afun2.m: spmv function to eig in alg1.m and alg2.m
-- test
 -- m-SBM: experiment on the Modified Stochastic Block Model 
 -- lastfm: experiment on Last.fm dataset
 -- friendship: experiment on FacebookNet dataset
 -- ranLap: experiment on random Laplacian

alg1.m, alg2.m, and part of m-SBM are credited to https://github.com/matthklein/fair_spectral_clustering

Real dataset: Last.fm | FacebookNet

Paper is accepted at the 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023). Proceedings available at https://proceedings.mlr.press/v206/wang23h.html

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published